{"id":"W2530952499","doi":"10.1038/nrclinonc.2016.162","title":"Imaging biomarker roadmap for cancer studies","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Clinical Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1078,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials","funders":"Innovative Medicines Initiative; European Commission; Wellbeing of Women; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; National Cancer Institute; Cancer Research UK; Medical Research Council; European Federation of Pharmaceutical Industries and Associations","keywords":"Medicine; Clinical trial; Medical physics; Drug development; Translational research; Standardization; Biomarker; Internal medicine; Pathology; Drug; Pharmacology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2445465864156629,"score_gpt":0.6209623229717565,"score_spread":0.3764157365560936,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}